Neural Network for Estimate of Organization’s Requirements for Highly Skilled Personnel
This article presents the results of research the needs companies for workers in regions of the Russian Federation, which is based on the use of neural network. There are discrepancy between the actual demand for highly skilled personnel and programs higher education. This situation could have a neg...
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North-West institute of management of the Russian Presidential Academy of National Economy and Public Administration
2018
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oai:doaj.org-article:bcd963de589a4f40b881ab2a1cc988112021-11-12T10:45:58ZNeural Network for Estimate of Organization’s Requirements for Highly Skilled Personnel1726-11391816-8590https://doaj.org/article/bcd963de589a4f40b881ab2a1cc988112018-04-01T00:00:00Zhttps://www.acjournal.ru/jour/article/view/388https://doaj.org/toc/1726-1139https://doaj.org/toc/1816-8590This article presents the results of research the needs companies for workers in regions of the Russian Federation, which is based on the use of neural network. There are discrepancy between the actual demand for highly skilled personnel and programs higher education. This situation could have a negative impact on the development of the regions. The result of the study is forecast the demand for workers for the mining industry in several regions of the country and the proposal to use this method to formation of programs in higher education.Mikhail Valeryevich ZaboevMaria Petrovna MazyarkinaNorth-West institute of management of the Russian Presidential Academy of National Economy and Public Administration articlehigher educationregionslabor marketneural networkself-organizing kohonen mapsPolitical institutions and public administration (General)JF20-2112ENRUУправленческое консультирование, Vol 0, Iss 8, Pp 69-75 (2018) |
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higher education regions labor market neural network self-organizing kohonen maps Political institutions and public administration (General) JF20-2112 |
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higher education regions labor market neural network self-organizing kohonen maps Political institutions and public administration (General) JF20-2112 Mikhail Valeryevich Zaboev Maria Petrovna Mazyarkina Neural Network for Estimate of Organization’s Requirements for Highly Skilled Personnel |
description |
This article presents the results of research the needs companies for workers in regions of the Russian Federation, which is based on the use of neural network. There are discrepancy between the actual demand for highly skilled personnel and programs higher education. This situation could have a negative impact on the development of the regions. The result of the study is forecast the demand for workers for the mining industry in several regions of the country and the proposal to use this method to formation of programs in higher education. |
format |
article |
author |
Mikhail Valeryevich Zaboev Maria Petrovna Mazyarkina |
author_facet |
Mikhail Valeryevich Zaboev Maria Petrovna Mazyarkina |
author_sort |
Mikhail Valeryevich Zaboev |
title |
Neural Network for Estimate of Organization’s Requirements for Highly Skilled Personnel |
title_short |
Neural Network for Estimate of Organization’s Requirements for Highly Skilled Personnel |
title_full |
Neural Network for Estimate of Organization’s Requirements for Highly Skilled Personnel |
title_fullStr |
Neural Network for Estimate of Organization’s Requirements for Highly Skilled Personnel |
title_full_unstemmed |
Neural Network for Estimate of Organization’s Requirements for Highly Skilled Personnel |
title_sort |
neural network for estimate of organization’s requirements for highly skilled personnel |
publisher |
North-West institute of management of the Russian Presidential Academy of National Economy and Public Administration |
publishDate |
2018 |
url |
https://doaj.org/article/bcd963de589a4f40b881ab2a1cc98811 |
work_keys_str_mv |
AT mikhailvaleryevichzaboev neuralnetworkforestimateoforganizationsrequirementsforhighlyskilledpersonnel AT mariapetrovnamazyarkina neuralnetworkforestimateoforganizationsrequirementsforhighlyskilledpersonnel |
_version_ |
1718430955881889792 |